{"id":"https://openalex.org/W3007547533","doi":"https://doi.org/10.1080/24725854.2020.1731774","title":"Personalized individual semantics-based approach for linguistic failure modes and effects analysis with incomplete preference information","display_name":"Personalized individual semantics-based approach for linguistic failure modes and effects analysis with incomplete preference information","publication_year":2020,"publication_date":"2020-02-25","ids":{"openalex":"https://openalex.org/W3007547533","doi":"https://doi.org/10.1080/24725854.2020.1731774","mag":"3007547533"},"language":"en","primary_location":{"id":"doi:10.1080/24725854.2020.1731774","is_oa":false,"landing_page_url":"https://doi.org/10.1080/24725854.2020.1731774","pdf_url":null,"source":{"id":"https://openalex.org/S4210225672","display_name":"IISE Transactions","issn_l":"2472-5854","issn":["2472-5854","2472-5862"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IISE Transactions","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060079541","display_name":"Hengjie Zhang","orcid":"https://orcid.org/0000-0002-5488-9082"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengjie Zhang","raw_affiliation_strings":["Business School, Hohai University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business School, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050358854","display_name":"Yucheng Dong","orcid":"https://orcid.org/0000-0002-0028-6796"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yucheng Dong","raw_affiliation_strings":["Center for Network Big Data and Decision-Making, Business School, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Network Big Data and Decision-Making, Business School, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101931947","display_name":"Jing Xiao","orcid":"https://orcid.org/0000-0001-6141-677X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xiao","raw_affiliation_strings":["School of Economics & Management, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics & Management, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001443974","display_name":"Francisco Chiclana","orcid":"https://orcid.org/0000-0002-3952-4210"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]},{"id":"https://openalex.org/I66943878","display_name":"De Montfort University","ror":"https://ror.org/0312pnr83","country_code":"GB","type":"education","lineage":["https://openalex.org/I66943878"]}],"countries":["ES","GB"],"is_corresponding":false,"raw_author_name":"Francisco Chiclana","raw_affiliation_strings":["Andalusian Research Institute in Data Science and Computational Intelligence, University of Granada, Granada, Spain","Institute of Artificial Intelligence, School of Computer Science and Informatics, De Montfort University, Leicester, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Andalusian Research Institute in Data Science and Computational Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, School of Computer Science and Informatics, De Montfort University, Leicester, UK","institution_ids":["https://openalex.org/I66943878"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076657750","display_name":"Enrique Herrera\u2010Viedma","orcid":"https://orcid.org/0000-0002-7922-4984"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]},{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]}],"countries":["ES","SA"],"is_corresponding":false,"raw_author_name":"Enrique Herrera-Viedma","raw_affiliation_strings":["Andalusian Research Institute in Data Science and Computational Intelligence, University of Granada, Granada, Spain","Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-7922-4984","affiliations":[{"raw_affiliation_string":"Andalusian Research Institute in Data Science and Computational Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5050358854"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":16.0379,"has_fulltext":false,"cited_by_count":123,"citation_normalized_percentile":{"value":0.99373411,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"52","issue":"11","first_page":"1275","last_page":"1296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/failure-mode-and-effects-analysis","display_name":"Failure mode and effects analysis","score":0.7233749628067017},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6513546109199524},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6137304306030273},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5950514078140259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5899254083633423},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5130549669265747},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5041636228561401},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5011284351348877},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3552190363407135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34844526648521423},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3449106812477112},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.32917582988739014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1984880268573761},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1440722644329071},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14188936352729797}],"concepts":[{"id":"https://openalex.org/C66283442","wikidata":"https://www.wikidata.org/wiki/Q1389268","display_name":"Failure mode and effects analysis","level":2,"score":0.7233749628067017},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6513546109199524},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6137304306030273},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5950514078140259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5899254083633423},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5130549669265747},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5041636228561401},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5011284351348877},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3552190363407135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34844526648521423},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3449106812477112},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.32917582988739014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1984880268573761},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1440722644329071},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14188936352729797},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/24725854.2020.1731774","is_oa":false,"landing_page_url":"https://doi.org/10.1080/24725854.2020.1731774","pdf_url":null,"source":{"id":"https://openalex.org/S4210225672","display_name":"IISE Transactions","issn_l":"2472-5854","issn":["2472-5854","2472-5862"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IISE Transactions","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:uiiexx:v:52:y:2020:i:11:p:1275-1296","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/24725854.2020.1731774","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:dora.dmu.ac.uk:2086/19272","is_oa":false,"landing_page_url":"https://dora.dmu.ac.uk/handle/2086/19272","pdf_url":null,"source":{"id":"https://openalex.org/S4306400394","display_name":"DMU Open Research Archive (De Montfort University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66943878","host_organization_name":"De Montfort University","host_organization_lineage":["https://openalex.org/I66943878"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W629773967","https://openalex.org/W1188124272","https://openalex.org/W1595275213","https://openalex.org/W1963848153","https://openalex.org/W1967711089","https://openalex.org/W1973532150","https://openalex.org/W1979872891","https://openalex.org/W2015338869","https://openalex.org/W2023024928","https://openalex.org/W2027218152","https://openalex.org/W2042508843","https://openalex.org/W2057636328","https://openalex.org/W2108158851","https://openalex.org/W2114087231","https://openalex.org/W2116917819","https://openalex.org/W2152788100","https://openalex.org/W2154526113","https://openalex.org/W2160582091","https://openalex.org/W2161477106","https://openalex.org/W2177399645","https://openalex.org/W2297022334","https://openalex.org/W2336843289","https://openalex.org/W2346604114","https://openalex.org/W2406581770","https://openalex.org/W2541493485","https://openalex.org/W2605869156","https://openalex.org/W2624729712","https://openalex.org/W2728688086","https://openalex.org/W2759417358","https://openalex.org/W2772447457","https://openalex.org/W2783728240","https://openalex.org/W2796517502","https://openalex.org/W2804085439","https://openalex.org/W2883880313","https://openalex.org/W2888190127","https://openalex.org/W2888213875","https://openalex.org/W2894919183","https://openalex.org/W2897356180","https://openalex.org/W2903094248","https://openalex.org/W2904912265","https://openalex.org/W2910326669","https://openalex.org/W2912083585","https://openalex.org/W2938752753","https://openalex.org/W2964638495","https://openalex.org/W2982638854","https://openalex.org/W2999233237","https://openalex.org/W4238625289","https://openalex.org/W4247749894","https://openalex.org/W4299640819"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W2798997222","https://openalex.org/W2397288865","https://openalex.org/W2798198862","https://openalex.org/W2210752991","https://openalex.org/W2793336762","https://openalex.org/W2931602588"],"abstract_inverted_index":{"Failure":[0],"Modes":[1],"and":[2,14,71,80,135,166],"Effects":[3],"Analysis":[4],"(FMEA)":[5],"is":[6,104,123,146],"a":[7,58,100,118,152,167],"very":[8],"useful":[9],"reliability-management":[10],"instrument":[11],"for":[12],"detecting":[13],"mitigating":[15],"risks":[16],"in":[17,29,47,62],"various":[18],"fields.":[19],"The":[20],"linguistic":[21,49,180],"assessment":[22,50,138],"approach":[23],"has":[24],"recently":[25],"been":[26],"widely":[27],"used":[28],"FMEA.":[30],"Words":[31],"mean":[32],"different":[33,36],"things":[34],"to":[35,106,125,155,173],"people,":[37],"so":[38],"FMEA":[39,60,181],"members":[40,64],"may":[41],"present":[42],"Personalized":[43],"Individual":[44],"Semantics":[45],"(PIS)":[46],"their":[48,66,83],"information.":[51],"This":[52,145],"article":[53],"presents":[54],"the":[55,131,136,142,149,157,175,178],"design":[56],"of":[57,151,160,177],"PIS-based":[59,179],"approach,":[61],"which":[63],"express":[65],"opinions":[67,84],"over":[68,85],"failure":[69,86,161],"modes":[70,87],"risk":[72,158],"factors":[73],"using":[74,88],"Linguistic":[75],"Distribution":[76],"Assessment":[77],"Matrices":[78],"(LDAMs)":[79],"also":[81],"provide":[82],"incomplete":[89,115],"Additive":[90],"Preference":[91],"Relations":[92],"(APRs).":[93],"A":[94,163],"preference":[95],"information":[96],"preprocessing":[97],"method":[98],"with":[99,110],"two-stage":[101],"optimization":[102,121],"model":[103,122],"presented":[105,172],"generate":[107,156],"complete":[108],"APRs":[109],"acceptable":[111],"consistency":[112],"levels":[113],"from":[114,141],"APRs.":[116],"Then,":[117],"deviation":[119,132],"minimum-based":[120],"designed":[124],"personalize":[126],"individual":[127],"semantics":[128],"by":[129,148],"minimizing":[130],"between":[133],"APR":[134],"numerical":[137],"matrix":[139],"derived":[140],"corresponding":[143],"LDAM.":[144],"followed":[147],"development":[150],"ranking":[153],"process":[154],"ordering":[159],"modes.":[162],"case":[164],"study":[165],"detailed":[168],"comparison":[169],"analysis":[170],"are":[171],"show":[174],"effectiveness":[176],"approach.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":11}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
